Reliability and Validity of the Roberts UCLA Loneliness Scale (RULS-8) With Dutch-Speaking Adolescents in Belgium

Goossens, Luc; Klimstra, Theo A.; Luyckx, Koen; Vanhalst, Janne; Teppers, Eveline

doi:10.5334/pb.ae

Cited by 26 publications

(19 citation statements)

References 40 publications

(69 reference statements)

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“…However, these models narrowly failed to meet the criteria for acceptable model fit. In contrast to the findings of Goossens et al (), the Roberts et al’s model was an extremely poor fit with the data in both samples when tested as a three‐factor model. However, the model examined by Goossens et al included four positively and four negatively worded items.…”

Section: Discussioncontrasting

confidence: 89%

“…A three-factor model was also examined for the eight-item model identified by Roberts et al (1993) in accordance with the findings of Goossens et al (2014). In both of the current samples, model fit was unable to be accurately calculated for the three-factor model.…”

Section: Short-formsmentioning

confidence: 85%

“…Model fit results for one‐ and two‐factor (i.e., positively and negatively worded items) solutions comprising the full 20‐item UCLA‐LS (Russell, ), and the various short‐forms, were assessed in each sample using CFA with MPlus version 6 (Muthén & Muthén, ). Three‐factor (i.e., an overall loneliness factor and two‐method factors) models were also calculated for the 20‐ and 10‐item versions of the UCLA‐LS developed by Russell (), the two short‐forms developed by Knight et al (), and the eight‐item model developed by Roberts et al (); see also Goossens et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…Based on an earlier version of the UCLA-LS (i.e., Russell et al, 1980), two-factor models (i.e., positively and negatively worded items) comprising 10 (Knight et al, 1988) or eight (Roberts, Lewinsohn, & Seeley, 1993) items were developed. Goossens, Klimstra, Luyckx, Vanhalst, and Teppers (2014) used this eight-item scale and found that the three-factor model proposed by Russell provided good fit with the data. A two-factor model (i.e., positively and negatively worded items) approached good model fit.…”

Section: Short-forms Of the Ucla-lsmentioning

confidence: 99%

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Identification of a Suitable Short‐form of the UCLA‐Loneliness Scale

Elphinstone

2018

Australian Psychologist

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Objective The current study aimed to identify the most statistically appropriate short‐form of the UCLA‐Loneliness Scale (LS). This was intended to provide researchers and practitioners with a measure that reduces the burden on participants and measures a unidimensional model of loneliness in accordance with the theory proposed by Russell. Method Eight short‐forms of the UCLA‐LS were assessed in two undergraduate samples (N = 552, 206). Students were from a metropolitan Australian university and completed online surveys. Results One‐, two‐, and three‐factor (i.e., an overall loneliness factor, and two method factors representing positively and negatively scored items) models of the original 20‐item UCLA‐LS provided poor model fit. One 10‐item short‐form provided adequate model fit in both samples. However, all configurations of the measure were generally internally consistent and displayed convergent validity. Greater loneliness was significantly associated with reduced social wellbeing, positive affect, life satisfaction, vitality, and psychological wellbeing, and increased negative affect. Conclusions It is recommended that a 10‐item short‐form is used in future applications. This short‐form displayed similar internal consistency and convergent validity as the 20‐item measure despite being half as long, and provided superior model fit.

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Section: Discussioncontrasting

confidence: 89%

Section: Short-formsmentioning

confidence: 85%

Section: Resultsmentioning

confidence: 99%

Section: Short-forms Of the Ucla-lsmentioning

confidence: 99%

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Identification of a Suitable Short‐form of the UCLA‐Loneliness Scale

Elphinstone

2018

Australian Psychologist

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“…The 11-item version was examined in a large sample of elderly sample and the results presented a twofactor model identifying social connections and sense of belonging (Lee & Cagle, 2017). The 8-item version was tested among Dutch adolescents and yielded a three-factor model, that is, loneliness, and positive and negative items (Goossens, Klimstra, Luyckx, Vanhalst, & Teppers, 2014). Similarly, the original 20-item version addressed by Russell suggested that the R-ULS is a unidimensional scale comprising a general loneliness factor and two uncorrelated measurement factors (negatively and positively worded items) (Russell, 1996).…”

Section: Statement Of Contributionmentioning

confidence: 99%

Development and validation of a 6‐item Revised UCLA Loneliness Scale (RULS‐6) using Rasch analysis

Wongpakaran

Pinyopornpanish

Simcharoen

et al. 2020

British J Health Psychol

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Objective. The UCLA Loneliness Scale, containing 20 items, is one of the commonly used loneliness scales. Some shorter versions have been developed using factor analysis. The study aimed to shorten the UCLA Loneliness Scale using Rasch and factor analysis methods and test the psychometric properties of the new scale.Methods. The full sample of the study included 719 respondents, divided into three subsamples (205, 324, and 190 for samples 1-3, respectively). The original, 20-item Revised UCLA Loneliness Scale (R-ULS) was shortened using 205 students (sample 1); the shortened scale was then validated for construct and concurrent validity with 324 students (sample 2) and 190 clinical participants (sample 3). Confirmatory factor analysis and Rasch analysis were used for construct validity. Convergent, discriminant, and concurrent validity were assessed by exploring the correlation with other psychological measurements.Results. In sample 1, the R-ULS was shortened to a 6-item scale (RULS-6) that fits the Rasch model. The RULS-6 met the criteria of unidimensionality and local independence without differential item functioning due to age and sex, and good targeting the clinical sample. Person Separation Index (PSI) reflected that reliability from the Rasch perspective was acceptable. However, collapsing categories 2 (sometime) and 3 (rarely) may be required in a clinical sample. When tested in samples 2 and 3, the RULS-6 fits the Rasch measurement model. Convergent and discriminant validity were demonstrated with interpersonal problems and attachment scales. As expected, a positive correlation was found between RULS-6 and anxiety, depression subscale, interpersonal difficulties, and somatization subscales denoting concurrent validity. Cronbach's alpha of the RULS-6 was good (.83).Conclusion. Using Rasch analysis, the proposed RULS-6 constituted a 70% reduction of the number of original items, yet preserved the psychometric properties in independent samples of students and psychiatric outpatients.

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Discursive Psychology and the Study of Loneliness

Oakley

2019

Exploring Student Loneliness in Higher Education

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Reliability and Validity of the Roberts UCLA Loneliness Scale (RULS-8) With Dutch-Speaking Adolescents in Belgium

Cited by 26 publications

References 40 publications

Identification of a Suitable Short‐form of the UCLA‐Loneliness Scale

Identification of a Suitable Short‐form of the UCLA‐Loneliness Scale

Development and validation of a 6‐item Revised UCLA Loneliness Scale (RULS‐6) using Rasch analysis

Discursive Psychology and the Study of Loneliness

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